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GoLogica offers complete online training in data modeling that gives professionals the understanding and skills they need to understand data modeling methods. IT specialists, database developers, business analysts, and data analysts who want to become better in creating and managing data structures may benefit from this course. Basic topics covered in the course include entity-relational diagrams (ERDs), data mapping, normalization strategies, and abstract, logical, and physical data modeling. It also covers database design concepts, demonstrating how to build durable, scalable, and effective data models that correspond with business goals. This course, led by industry experts, gives participants practical knowledge through practical assignments, allowing them to apply what they've learned in actual situations. Whether you're new to data modeling or want to improve your existing skills, GoLogica Data Modeling Online Training provides a solid basis for creating and managing successful data models. Enroll in GoLogica Data Modeling Online Training today to obtain the knowledge you need to boost your career in data management and become a certified Data Modeling expert!

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Overview The infrared converter slag detection system uses a far-infrared thermal imager to monitor the situation of converter tapping in real time, and is connected to the main control computer in the electrical room through the conversion and transmission of video signals. The radiation intensity in the infrared wavelength range of 7-14um is different to distinguish molten steel and slag. In the later stage of the converter tapping, the molten steel gradually decreases, and the steelmaking slag is involved in the molten steel and flows out of the tapping hole. After the thermal imager recognizes the steelmaking slag in the imaging temperature measurement, it will give an alarm according to the slag content ratio threshold set by the software. The thermal imager will start the slide plate to close the tapping hole, so as to realize the control of the slag in the converter tapping, and ensure the maximum yield of molten steel and the minimum control of the steelmaking slag content. The effect of slag detection in converter tapping is of great significance to the control effect of the slag amount. The converter slag detection and control system developed by our company conducts non-contact monitoring of the tapping steel flow through the far-infrared detector thermal imager. It can detect the slag condition in real time and output an alarm signal and control system, which can replace manual visual inspection and provide accurate, efficient and stable slag detection effect. When the system finds the slag, the intelligent control unit quickly makes a judgment of lifting the furnace and blocking the slag and outputs an alarm signal. As shown in Figure 1, the system includes thermal imager, front purge protection box, front electrical box, power distribution cabinet, main control monitor, monitor of rocking furnace chamber, sound and light alarm, infrared converter slag monitoring software system, etc. The features of thermal imager 1. The temperature measurement range is 200°C ~ 2000°C, high temperature measurement accuracy, and multiple temperature measurement intervals can be set. 2. High-resolution thermal imaging system, the imaging picture is clear, and the imaging color can be freely marked according to the set temperature. 3. With hot zone alarm function, the alarm zone and temperature range can be set arbitrarily. 4. With hot zone tracking function 5. Equipped with special 7~14um infrared filter lens The technical parameters 1. Temperature measurement range: 200°C ~ 2000°C 2. Temperature measurement accuracy: 2% 3. Detection accuracy and alarm accuracy: ≥98% 4. Resolution: ≥ 0.5℃ 5. Pixels: 640x240PT 6. Band: 7~14um 7. Field of view: 7.5°×5.5° 8. Frame rate: ≥ 25 frames/sec 9. Equipment service life: ≥5 years 10. The normal operation rate of the automatic control system: ≥99%

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Overview: In the steelmaking production process, the ladle is the key equipment for holding molten steel, secondary refining, and continuous pouring. In a modern steelmaking plant, refractory materials are required for converters, refining, and ladles. In the steelmaking process, ladle is the main equipment for using and consuming refractory materials. Improving the service life of ladles and reducing refractory consumption is the key technology for steelmaking plants to save costs and reduce energy consumption for green production. In order to ensure the orderly operation of the ladle, save the consumption of refractory materials, prolong the service life of the ladle, and ensure the safe operation of the ladle, Wuhan CenterRise M&C Engineering CO. developed and launched the LDT-N200 integrated management system for the ladle. Introduction: LDT-N200 ladle integrated management system integrates LDT-L200 ladle lining thickness gauge, TBP-S300 ladle, tundish baking temperature and leakage monitoring system, RFD -C100 metallurgical electronic positioning system, and also integrates SQL Server database and NeuralWare (American computer software company) neural network software NeuralWorks to realize intelligent and optimized management of ladles. LDT-L200 ladle lining thickness gauge uses a laser area array scanning sensor to accurately measure the real-time thickness of the ladle lining, calculate the lining loss, and predict the service life of the ladle. TBP-S300 ladle, tundish baking temperature and leakage monitoring system uses infrared thermal imaging camera and embedded armor wire system to comprehensively monitor and prevent ladle leakage. RFD-C100 metallurgical electronic positioning system installs RFID electronic tags on all ladles to realize full-time and full-space ladle positioning and tracking. LDT-S200 ladle optimization control and analysis software, based on SQL Server database, B/S network structure, realizes online management of ladles, and adopts BP neural network system to realize intelligent optimization control of ladles. LDT-N200 ladle integrated management system can realize ladle age management based on ladle lining data and neural network algorithm, safety process control of ladle turnover and use, full-time tracking management of steelmaking production and full-space tracking management of ladle use and provide optimal control and management of steelmaking production and ladle maintenance. Comprehensive ladle measurement and monitoring, ladle positioning and management, and data management and optimization enable the LDT-N200 ladle integrated management system to fully realize ladle entire process management, optimize the service life of ladles, and comprehensively reduce the cost of refractory materials. The features: Using a lining thickness gauge to measure the thickness of the ladle lining Using infrared thermal imaging camera/embedded armor wire to realize ladle leakage detection Using RFID/number plate recognition to realize the location management of ladles Ladle age management system based on overall tracking Overall (full-time full-space) ladle management system based on database Provide overall production scheduling data Using neural network to predict ladle service life based on big data Ladle Optimal Scheduling System based on database and ladle service life Increase the service life of ladle by 12%-20% Reduce the use of refractory materials more than 15% Realize orderly management of ladle baking Realize full space and full time domain control Reduce the costs of ladle management and maintenance Improve the efficiency of ladle turnover operation

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Overview In order to ensure the quality of the slab, it is necessary to strictly control the performance and various parameters of the CCM’s guide roll within a certain error range. Due to the continuous casting machine (CCM) is large and in a harsh production environment, it is difficult to measure the performance of the continuous casting machine manually, and many parameters are difficult to measure. Therefore, it is very important to have a set of equipment that can simulate drawing of steel billet to realize the measurement of CCM’s various parameters and performance. The multifunctional strand condition monitor uses various sensors to realize the measurement of CCM’s roll gap value, the arc value of continuous casting section, the rotation quality of the rolls, and the water spray pressure under the condition of simulating drawing of steel billet. Therefore, the CCM’s quality can be controlled in real time, and it is convenient for the maintenance personnel to analyze the CCM’s measurement results. The problem areas of the casting machine equipment can also be found. If these problems doesn’t be found in time, it will cause the bad quality of CCM’s products, the steel breakout in pouring process, surface and internal cracks and centerline deviation. The measurement of the strand condition monitor Roll gap value： By measuring the distance between a series of inner arc guide rolls and outer arc guide rolls on the CCM’s roller bed. It can be used to set the correct roll gap spacing for each pair of guide rolls in the slab caster. Arc condition of guide roller ： Measuring the position between the position of the CCM’s outer arc guide roll and the two adjacent guide rolls and then measuring the deviation compared with the origical position of CCM’s guide roll, we can obtain the arc condition of the outer arc guided roller. Guided roller rotation： It is possible to know whether each guided roller can rotate freely by measuring. Water spray pressure： The operation of the water spray cooling system can be judged by measuring the situation of secondary cooling water spray at different positions of CCM's width direction. Then we can accurately locate whether the water spray at a certain point is normal. The main components of the strand condition monitor 1. The main body of the strand condition monitor used to measure the continuous casting sector 2. The connecting chain between strand condition monitor and dummy bar 3. The storage rack chain of strand condition monitor 4. Battery charger: 24V 5A 5. Calibration equipment 6. Remote control 7. Laptop 8. Printer 9. Data communication cable The technical parameter 1. The measurement range of roll gap: 210mm, 230mm (can be customized according to requirements) 2. The measurement accuracy of roll gap: 0.01mm 3. The arc measurement range: ±80° 4. The arc measurement accuracy: 0.01° 5. The spray measurement range: 0-10 6. The spray measurement accuracy: ±1 7. The battery usage times: 3 times

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Overview: LGK-S107 analog heat source instrument (heating tool) is independently developed and designed by Wuhan CenterRise M&C CO., Ltd. This instrument is a heating and testing equipment used to test the performance of the thermocouples installed in the mold in continuous casting machine. After the installation of the mold breakout prediction thermocouples completed, the analog heat source instrument is used to test these thermocouples before they go online. After the thermocouple is connected to the mold thermocouple detector, the current temperature of each thermocouple point will be displayed. By using our heating device to heat the copper plate point of each thermocouple at a fixed point, the thermocouple will have a synchronous temperature rise and then we can observe the temperature rise curve of the same column of temperature points to see whether the temperature measurement consistency of the column of thermocouples is consistent, so as to judge the overall status of thermocouples installed in the mold. If an abnormal point occurs, it needs to be repaired and replaced, so as to ensure the stable operation of the mold breakout prediction system. The working principle: The heating tool generates high heat by 220v alternating current and the electric heating element. The heat is transmitted to the copper plate of the mold through the copper head to simulate the heat source of molten steel, so that the thermocouples of the mold can sense the temperature change to achieve the purpose of calibrating the temperature measurement system. The composition: Walking trolley mechanism Preloader Pure copper heating contacts PID thermostat High power heating tube high power driver The parameters: Power supply: AC220V 50Hz Total power: 2200W Single point power: 300W Temperature control accuracy: 1°C Temperature control range: 0°C-500°C Common temperature range: 25°C-300°C Heating points: 3 (points can be customized) Heating method: heating tube heating Heating contact material: copper